---
language:
- fi
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large v3 Fine-Tuned Finnish
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 13.0
      type: mozilla-foundation/common_voice_13_0
      config: fi
      split: None
    metrics:
    - name: Wer
      type: wer
      value: 24.28676605926744
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper Large v3 Fine-Tuned Finnish

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3108
- Wer: 24.2868

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 800
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7157        | 0.21  | 50   | 0.4892          | 42.8216 |
| 0.6314        | 0.42  | 100  | 0.6716          | 58.7153 |
| 0.6187        | 0.63  | 150  | 0.5979          | 47.1195 |
| 0.5396        | 0.84  | 200  | 0.5503          | 45.8126 |
| 0.4857        | 1.05  | 250  | 0.5842          | 42.9873 |
| 0.246         | 1.26  | 300  | 0.5526          | 43.8984 |
| 0.2635        | 1.47  | 350  | 0.4893          | 39.4994 |
| 0.2346        | 1.68  | 400  | 0.4657          | 36.8489 |
| 0.2268        | 1.89  | 450  | 0.4163          | 34.5113 |
| 0.1345        | 2.11  | 500  | 0.4152          | 30.9590 |
| 0.0862        | 2.32  | 550  | 0.4157          | 32.6063 |
| 0.0723        | 2.53  | 600  | 0.3942          | 29.5785 |
| 0.0667        | 2.74  | 650  | 0.3654          | 28.3913 |
| 0.0571        | 2.95  | 700  | 0.3235          | 25.8513 |
| 0.0241        | 3.16  | 750  | 0.3109          | 25.0874 |
| 0.0124        | 3.37  | 800  | 0.3108          | 24.2868 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0